Bispectral Index to Predict Neurological Outcome Early After Cardiac Arrest

Abstract

Aim of the studyTo address the value of continuous monitoring of bispectral index (BIS) to predict neurological outcome after cardiac arrest. MethodsIn this prospective observational study in adult comatose patients treated by therapeutic hypothermia after cardiac arrest we measured bispectral index (BIS) during the first 24hours of intensive care unit stay. A blinded neurological outcome assessment by cerebral performance category (CPC) was done 6 months after cardiac arrest. ResultsForty-six patients (48%) had a good neurological outcome at 6-month, as defined by a cerebral performance category (CPC) 1-2, and 50 patients (52%) had a poor neurological outcome (CPC 3-5). Over the 24h of monitoring, mean BIS values over time were higher in the good outcome group (38±9) compared to the poor outcome group (17±12) (p<0.001). Analysis of BIS recorded every 30minutes provided an optimal prediction after 12.5h, with an area under the receiver operating characteristic curve (AUC) of 0.89, a specificity of 89% and a sensitivity of 86% using a cut-off value of 23. With a specificity fixed at 100% (sensitivity 26%) the cut-off BIS value was 2.4 over the first 271minutes. In multivariable analyses including clinical characteristics, mean BIS value over the first 12.5h was a predictor of neurological outcome (p=6E-6) and provided a continuous net reclassification index of 1.28% (p=4E-10) and an integrated discrimination improvement of 0.31 (p=1E-10). ConclusionsMean BIS value calculated over the first 12.5h after ICU admission potentially predicts 6-months neurological outcome after cardiac arrest.